class_docstr: Container mirroring Sklearn classifiers API.
docstr: Utility functions used to emulate the behavior of the Sklearn API.
  On classification tasks returns the probability estimates.
docstr_tok: ["Utility","functions","used","to","emulate","the","behavior","of","the","Sklearn","API",".","On","classification","tasks","returns","the","probability","estimates","."]
code: def predict_proba(self, *inputs):
      """
      Utility functions used to emulate the behavior of the Sklearn API.
      On classification tasks returns the probability estimates.
      """
      return self._run(self._predict_proba, *inputs)
  
imports: from abc import ABC, abstractmethod
  from hummingbird.ml._utils import pandas_installed
  from hummingbird.ml.operator_converters import constants
label_desc: Use image node_id 3 for calling the SklearnContainerClassification obj's underlying member method code with example usage: obj.predict_proba() and returns: self